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Paper Citation Record · LEDGER

Model Tailor: Mitigating Catastrophic Forgetting in Multi-modal Large Language Models

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2402.12048.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2402.12048 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:16:41.670472Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-20T15:18:25.391525Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 8ec8dfd8-1bfa-42e7-bf65-c2ba6e371bbb · inbound

Separate the Wheat from the Chaff: A Post-Hoc Approach to Safety Re-Alignment for Fine-Tuned Language Models cites this paper.

Separate the Wheat from the Chaff: A Post-Hoc Approach to Safety Re-Alignment for Fine-Tuned Language Models Model Tailor: Mitigating Catastrophic Forgetting in Multi-modal Large Language Models

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-11T15:26:52.677212Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T15:26:52.677212Z digest=sha256:1c1509663688229949efb3f33d4a0a4522f184b0412b54540f005f46c12ea045

Observation 78f76a7a-9fb0-464e-af00-c97be9945e0e · inbound

Memorization and Knowledge Injection in Gated LLMs cites this paper.

Memorization and Knowledge Injection in Gated LLMs Model Tailor: Mitigating Catastrophic Forgetting in Multi-modal Large Language Models

Reference 96

Resolution
unresolved
no resolver link, observed 2026-08-16T05:16:41.670472Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T05:16:41.670472Z digest=sha256:31eb1c15f89562f7af23418016a47ce4dbf7845f2c66907e364f678c5b141a80

Observation 561bb109-b054-4d2f-8d3e-f75c5540c614 · inbound

Scalable Strategies for Continual Learning with Replay cites this paper.

Scalable Strategies for Continual Learning with Replay Model Tailor: Mitigating Catastrophic Forgetting in Multi-modal Large Language Models

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-15T20:36:39.994817Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:36:39.994817Z digest=sha256:e30a82120eaa7b6fc37665261dccaf9da6c53bff4b8599ec1bb0f51327158892

Observation 9b7af777-7bbe-4738-b001-93d3c891236e · inbound

Locate-then-Merge: Neuron-Level Parameter Fusion for Mitigating Catastrophic Forgetting in Multimodal LLMs cites this paper.

Locate-then-Merge: Neuron-Level Parameter Fusion for Mitigating Catastrophic Forgetting in Multimodal LLMs Model Tailor: Mitigating Catastrophic Forgetting in Multi-modal Large Language Models

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-07T15:01:17.894128Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:01:17.894128Z digest=sha256:84bfabf518eced0637ef2dda3125d2a71dd89ee44f79897774f622d9efee8591

Observation 7e198eef-2637-43e5-9864-447a0450577f · inbound

Continual Learning for Generative AI: From LLMs to MLLMs and Beyond cites this paper.

Continual Learning for Generative AI: From LLMs to MLLMs and Beyond Model Tailor: Mitigating Catastrophic Forgetting in Multi-modal Large Language Models

Reference 269

Resolution
unresolved
no resolver link, observed 2026-08-07T00:40:38.280969Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:40:38.280969Z digest=sha256:237146045264c88c7d8d2243166f8eb0d3e0611f47577a33a6ea371044c2f927

Observation 67a79dec-01b7-4218-a42c-1fd1f76fbb1c · inbound

CLIP-SVD: Efficient and Interpretable Vision-Language Adaptation via Singular Values cites this paper.

CLIP-SVD: Efficient and Interpretable Vision-Language Adaptation via Singular Values Model Tailor: Mitigating Catastrophic Forgetting in Multi-modal Large Language Models

Reference 86

Resolution
malformed identifier
arxiv_id, observed 2026-05-18T18:56:45.971143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-18T18:55:31.923309Z digest=sha256:e3c39edd69323cc3ce5bca5f37b718d6cfb02b781ffe5825148ecc38abc1115e

Observation f2d58c92-e6af-4a6d-b337-3e01fff8e334 · inbound

Dynamic Model Merging Made Slim cites this paper.

Dynamic Model Merging Made Slim Model Tailor: Mitigating Catastrophic Forgetting in Multi-modal Large Language Models

Reference 111

Resolution
verified exact
arxiv_id, observed 2026-05-20T15:18:25.393148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-20T15:16:24.651868Z digest=sha256:bd42ec01e76e8437d9402c94152153ef39c9eaa68de6cf5d998bad0ce7c0706c

Observation dda4bdf1-3d3d-475f-8349-e056ac653c28 · inbound

UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling cites this paper.

UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling Model Tailor: Mitigating Catastrophic Forgetting in Multi-modal Large Language Models

Reference 94

Resolution
unresolved
no resolver link, observed 2026-07-31T22:25:12.520952Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T22:25:12.520952Z digest=sha256:aab53743974e5b98031c218d4a3f3b87dbda8e019613a3248231ed4c2b916eca

Observation d6fceeff-5317-41b8-a511-74d77b603445 · inbound

In-Context Collapse in Vision-Language Models and How to Mitigate it? cites this paper.

In-Context Collapse in Vision-Language Models and How to Mitigate it? Model Tailor: Mitigating Catastrophic Forgetting in Multi-modal Large Language Models

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-15T15:05:19.421206Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:05:19.421206Z digest=sha256:0cf77c7bb5cfbaee4489101a9a7652e44871c822327f9d292837e350c8aa5204